SAS Analytics: An Informative Guide For 2021
Introduction
Business success depends on its people and Business Intelligence. Most often, BI is restricted to use by the data analysts or Business Analysts alone when, in reality, it should be used by all those involved in the business-running like the managers and executives as well.
In this article let us look at:
- Introduction to SAS Visual Analytics
- Main Features of SAS Analytics and BI
- SAS BI and Analytics Benefits
1. Introduction to SAS Visual Analytics
The SAS analytics tool is popularly used in Machine Learning, Business Intelligence and Data Science applications. Statistical Analysis Systems or SAS full form was released as a large enterprise business solution by SAS Business Analytics and Intelligence. It has a large visual output format for Big Data sets, helping analyze business solutions for large enterprises. It provides comprehensive reports, key metrics and powerful analytics using various data analytics tools that can be aggregated from various sources to make informed decisions. The mobile deployment facility is excellent, and it seamlessly integrates BI and analytics.
2. Main Features of SAS Analytics and BI
Discussed below are the 5 critical areas of the SAS analytics tool used for BI and analytics.
- Creating easy and insightful analytics: The SAS tool is extremely useful in making accurate trend and future outcome predictions, spotting the outliers, identifying correlations, providing trends in a visual format etc.
- Visual data exploration: SAS analytics provides visuals, charts, reports and more besides understanding complex data forms quite easily. It helps explore new opportunities, spot patterns that are unprecedented and is a valuable tool in trend analysis.
- Ad-hoc self-service reporting and interactive dashboards: These are great features in SAS. It enables SAS data analytics, creation of distribution-quality ad-hoc reports on a self-service basis meaning the managers or executives can create their own dashboards and generate reports quickly and easily. Besides, it has features like mash-up, access to data, data transformation and data filtering.
- MS Office tools Integration: Its SAS platform is easily integrated with the tools as Outlook and Excel found in the MS Office suite, making it possible to access the SAS analytics and BI tools easily. When integrated into the MS Office suites, it provides MS Office reports, report distribution features, narratives, storyboards etc.
- BI on-the-go mobile companion app: Its SAS analytics format is executable using the Mobile BI App, Android and iOS friendly and provides 24/7 BI monitoring using control panels and gesture-controls. It can also interact with charts, reports, dashboards etc.
3. SAS BI and Analytics Benefits
As seen above, the SAS analytical tool Mobile BI helps executives and business managers access reports, dashboards etc., while travelling and from remote locations using the mobile app. It is thus easy to stay in the know of business data, its insights and analytics on-the-go. Here are the main benefits of SAS Analytics and BI tools.
- Big Data Analysis: Visual Analytics in SAS works on Big Data sets to analyze large enterprises’ business intelligence needs. The SAS visual analytics tool is able to provide powerful business insights, which the business users themselves can do. Its format is visually-appealing and provides interaction with charts, dashboards etc. Besides, the IT team or a SAS analyst is not required to integrate with this tool.
- An on-the-go mobile app: SAS analytics provides business users with a simple app, customized dashboards and other tools to permit the drawing of BI trends, isolate outliers, spot data correlations, realize exceptions, get to the root cause of variations, and use the insights and data effectively for furthering the business.
- Data consistency: Data maintained is consistent overall users of SAS analytics since the data is managed using centrally-managed secure data storage while being shared as metadata. Thus output reliability and traceability of data source is also enabled.
- Prompt Data Analysis: SAS analytics utilizes distributed and in-memory processing for data access, making its reporting extremely fast and prompt, even while working on Big Data sets. It is hence an asset used for predictive data modelling.
- Collaborative environment: Most executives and business-side managers use the Microsoft Office Suite with tools like Excel and Outlook. Due to the easy integration of SAS analytics with the MS Office tools SAS BI and Analytics can produce reports, insights etc., in the MS Suite itself, enabling business users to access it on-the-go.
- MS Office integration features: SAS BI and Analytics can produce visually-pleasing graphs, charts etc., with ad-hoc reports using MS Office. The reports can also be distributed in MS Office, allowing narratives, storyboards, creative insights and decision making at all levels of the enterprise.
Conclusion
Businesses today use analytics and business intelligence for making gainful business decisions in all enterprise sizes worldwide. The larger and medium-size enterprises have more employees involved in business intelligence and require an efficient and business solution designed to meet their unique needs. The SAS Analytics and BI tool has just been discussed above and emerges as an effective solution for large enterprises. The demand for professionals in the SAS BI and Analytics Suite and the future of SAS analytics has grown exponentially, with the SAS professional earning upwards of USD 120,000 in the US. Hence how to learn SAS analytics is an excellent course for Developers, Analysts of BI, those with knowledge of SQL, ETL, Analytics, Mainframe professionals, Data Warehousing and Testing professionals.
If you are interested in making it big in the world of data and evolve as a Future Leader, you may consider our Business Analytics Certification, a 10-month online program, in collaboration with IIM Indore!
ALSO READ
